孟加拉国Aman水稻种植场的技术效率:一种参数和非参数效率方法

Kanis Fatama Ferdushi, A. Kamil
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引用次数: 0

摘要

采用参数生产模型和非参数生产模型对农业水稻生产的技术效率进行了比较。本文采用了一个超对数随机前沿模型来解释由于社会经济和农场特定变量在孟加拉国七个选定地区的水稻农场效率低下的来源。动机点是像其他亚洲国家一样“开始贸易”国际大米市场。在随机前沿分析(SFA)中,阿曼水稻移植农场的平均效率估计在60%-90%之间,而在数据包络分析(DEA)中,技术效率估计在64% - 79%之间。通过SFA分析发现达卡、库尔纳、巴里萨尔和朗布尔的平均技术效率高于DEA。核密度估计适合于经验效率。效率分布结果表明,达卡、拉杰沙希、库尔纳、巴里萨尔、锡尔赫特和Rangpur的效率呈负偏态。核密度估计值的图形表示表明,所有选定区域的农场都存在低效率。
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The Technical Efficiency of Transplanted Aman Rice Farms in Bangladesh: A Parametric and Nonparametric Approach of Efficiency
The comparison of technical efficiency has been estimated by parametric and nonparametric production model for agricultural rice farms. This paper employs a translog stochastic frontier model to explain the source of inefficiencies of rice farm due to socioeconomic and farm-specific variables in seven selected regions of Bangladesh. The motivational point is of “start trade” to international rice market like other Asian countries. The average efficiencies estimates of Transplanted AMAN rice farms are vary 60%-90% in stochastic frontier analysis (SFA) whereas in data envelopment analysis (DEA) the technical efficiencies estimates are vary 64% to 79%. Average technical efficienies of Dhaka, Khulna, Barisal and Rangpur were found higher through SFA than DEA. Kernel density estimates appropriates to the empirical efficiency. The results of distribution of efficiencies indicate that Dhaka, Rajshahi, Khulna, Barisal, Sylhet and Rangpur efficiency were found negatively skewed. The graphical representation of the kernel density estimates indicated that inefficiencies were presented among the farms in the all selected regions.
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来源期刊
Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration
Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
2.00
自引率
25.00%
发文量
25
审稿时长
6 weeks
期刊介绍: The faculty cooperates on the edition of the scientific journal E&M Economics and Management (E&M). The journal publishes high quality original research articles and scientifi c studies based on theoretical and empirical analyses. E&M encourages new intriguing ideas and new perspectives on existing state of knowledge. Among the key topics covered are Economics, Business Administration, Finance, Management, Information Management, and Marketing & Trade. The journal features theoretical articles as well as application-oriented papers. Occasionally published review articles summarising existing knowledge are accepted only if they are based on a systematic literature review.
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